Torq can be the right tool when a team has a focused problem around automating response and security operations work.
That can be a real need.
Most security teams are buried in alerts, repetitive triage, enrichment steps, ticket updates, and manual handoffs. AI and automation can absolutely help.
But there is also a reason many teams still hesitate when the conversation moves from AI helping the SOC to AI running the SOC.
Speed is not the only issue.
Trust matters.
If an AI system investigates an alert, makes assumptions, recommends action, or triggers a response, the team still needs to know what evidence it used, what it missed, how confident it was, and whether the action makes sense in the actual environment.
That is where the risk starts to show up.
An AI SOC can move quickly, but if the underlying data is incomplete, stale, or disconnected, it can also move quickly in the wrong direction. A user may look low risk in one system but be highly privileged in another. An endpoint may show healthy in one dashboard but be missing enforcement in another. A vulnerability may look critical on paper but may not be reachable. Another issue may look minor until it is tied to a risky identity, unmanaged device, exposed application, or missing control.
Real exposure rarely stays inside one product category.
A vulnerable system may sit on an unmanaged device. That device may belong to a risky user. The user may have broad SaaS access. The endpoint tool may be installed but not enforcing. The risk lives in the relationship between those facts.
That is where Guardare fits.
Guardare helps organizations read the environment as one connected system instead of a pile of separate dashboards. It looks across users, devices, software, identities, SaaS applications, vulnerabilities, cloud, on-prem infrastructure, and controls to explain where exposure is coming from.
Guardare also brings product-level context into the exposure story. It is trained across more than 200 security and IT products so it can help identify product misconfigurations, product best practices that are not being used, and control gaps that are easy to miss when each tool is reviewed in isolation.
Guardare is also mapped to MITRE ATT&CK and MITRE D3FEND so teams can connect likely attack paths with practical defensive actions. That means the platform is not only looking for vulnerable assets. It is helping security and IT teams understand how the organization is most likely to be attacked and which product configurations, controls, and best practices can reduce that risk in real time.
The goal is not blind automation.
The goal is trusted context before action.
Torq is often evaluated for AI SOC operations, security hyperautomation, alert triage, investigation, response workflows, and no-code automation. That can be valuable. But buyers may start looking at alternatives when they are not fully comfortable with AI making or accelerating operational decisions without enough environmental context, human review, or clear evidence trails.
A workflow can enrich an alert, open a ticket, notify a team, isolate a device, or trigger a response. But if the input is wrong, automation does not fix the problem. It just moves the mistake faster.
Most teams already own endpoint tools, scanners, identity systems, firewalls, cloud platforms, ticket queues, email security, and dashboards. Those tools do not always tell the same story. Guardare helps explain what those tools mean together, including product misconfigurations and best practices not in use across more than 200 security and IT products.
A lot of AI security messaging focuses on faster triage, faster response, and faster resolution. Security leaders still need to know whether the system can explain its reasoning, show supporting evidence, and avoid overreacting or underreacting to the wrong signal.
Leadership does not need another dashboard full of alerts, workflows, or AI-generated summaries. They need to understand where the business is exposed, what is driving the risk, and what action reduces it.
Best for: Teams that need connected exposure visibility across people, devices, software, identities, applications, vulnerabilities, misconfigurations, cloud, on-prem systems, and controls.
Torq is usually evaluated when the buyer is focused on automating response and security operations work. Guardare starts with a broader operating question: what is actually exposing the organization, how do those conditions connect, and what should be fixed first?
This matters because many teams are not ready to let AI run the SOC without better trust, better context, and better evidence. Guardare helps create that foundation by showing the exposure behind the alert before a team automates or accepts the next step.
Best for: Security and IT teams that want flexible automation without heavy SOAR engineering overhead.
Tines comes up when buyers are looking at security automation and no-code/low-code workflow orchestration. It belongs in the conversation when automation is the real buying problem.
Best for: Security teams experimenting with AI-assisted triage, investigation, and alert handling.
7AI comes up when buyers are looking at AI security analysts and autonomous SOC investigation. This is also where the trust conversation becomes important. AI can reduce analyst burden, but teams still need to understand how decisions are made, when human approval is required, and how the platform handles uncertain evidence.
Best for: Enterprises already using ServiceNow that want security work routed through IT and business workflows.
ServiceNow Security Operations comes up when buyers are looking at security incident response, vulnerability response, and workflow automation on the ServiceNow platform.
Best for: Teams looking to operationalize remediation and reduce risk using existing security tools.
Reclaim Security comes up when buyers are looking at security control automation, exposure reduction, and remediation guidance.
Best for: Organizations that want a managed SOC partner with threat intelligence and response support.
CyberProof comes up when buyers are looking at managed detection, threat intelligence, and security operations services.
Use this table as a quick way to understand where Guardare and Torq usually fit in a security program.

Exposure management helps teams answer a simple question that is hard to answer with separate tools: what are we exposed to, why does it matter, and what should we fix first?
In real environments, exposure can come from:
AI can help investigate and move work faster. But if the AI is acting on partial visibility, it may not know which exposure actually matters.
That is why many teams are not asking whether AI belongs in the SOC. They are asking how much they should trust it.
Guardare should be evaluated when the buyer wants more than an AI SOC operations point solution.
It helps teams connect the operational details that usually live in separate tools: users, devices, software, identity, cloud, on-prem assets, SaaS applications, vulnerabilities, misconfigurations, and control coverage.
It also helps teams move beyond inventory and alert review. Guardare uses product configuration knowledge, product best-practice context, MITRE ATT&CK mapping, and MITRE D3FEND defensive guidance to show where the organization is exposed, how an attacker may take advantage of that exposure, and what practical control improvements can reduce the risk.
For buyers looking at AI, the trust model matters.
Guardare gives teams a way to ask plain-English questions about their own environment without pasting asset, identity, vulnerability, or control data into public tools.
It also helps security and IT teams understand the conditions behind the alert before they automate the next step. The better model is AI-assisted security with trusted context, human accountability, and clear evidence.
The value is not more noise. It is fewer, better decisions. Guardare keeps watching for the conditions that matter and helps security and IT teams focus time and budget on the issues most likely to reduce exposure.
Some buyers compare Torq with platforms in adjacent categories. That can include vulnerability management, external attack surface management, SIEM, XDR, MDR, security validation, workflow automation, cyber risk quantification, remediation tools, or security operations platforms.
Guardare should not be forced into every one of those buckets. It answers a different question.
A scanner may show what is vulnerable. An MDR provider may show what happened. A workflow platform may route tickets. A validation platform may prove a path works. An AI SOC platform may accelerate investigation and response.
Guardare helps explain the exposure conditions before they turn into an incident or an endless queue of tickets.
That context becomes even more important when the organization is considering autonomous or semi-autonomous SOC operations. Before a team lets AI move faster, it needs confidence that the AI is working from accurate, connected, and defensible data.